task_name stringclasses 757
values | id stringlengths 40 41 | definition stringclasses 746
values | inputs stringlengths 1 289k | targets stringlengths 0 4.29k |
|---|---|---|---|---|
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-a4228914ec1e41cc9102d884189e8b96 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The rabbit is round. Green, blue people are nice. The rabbit is blue. Kind people are round. All green people are not kind. If someone is green then they are blue. The rabbit is nice. The rabbit is not kind. If someone is not nice then they are blue. The rabbit is green. If the rabbit is not nice and the rabbit is not ... | The rabbit is not nice. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-664929770b944dc7a7d13eeba4c46852 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Erin is white. If something is blue then it is smart. If something is white and young then it is smart. Erin is smart. If something is white and blue then it is green. If something is young then it is white. Blue things are white. If something is white then it is blue. Erin is blue. All rough things are white. If Erin ... | Erin is not white. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-a8ee44ddf2724d6182812cbe7e24ee73 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Blue, cold people are kind. Fiona is round. If Fiona is green then Fiona is blue. All kind people are cold. Nice, cold people are green. All nice, blue people are round. Kind people are cold. | Fiona is not round. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-f112570b86434bcbb6e3a22a5b8caee0 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Dave is white. All nice, cold things are quiet. Dave is nice. Dave is cold. Dave is quiet. Dave is red. Dave is round. If something is furry and red then it is round. Dave is furry. | Dave is not nice. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-03ce60bdd55b40dca72e1cf951b7f3b8 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle is not big. The bald eagle sees the bear. The cow eats the lion. The cow sees the bear. The cow does not visit the bald eagle. If something eats the bear then it visits the bald eagle. The bear eats the lion. The bald eagle is green. If the cow is round and something does not visit the cow then it does n... | The lion does not eat the cow. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-ea889c2bfc224852a754c886dd9d6db0 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Dave is rough. Anne is quiet. Anne is cold. Dave is blue. Bob is cold. Smart things are cold. Bob is kind. All cold, white things are rough. Dave is white. If something is kind and rough then it is smart. Anne is rough. Dave is smart. Dave is cold. | Dave is not cold. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-caf358d97cdb4d3baebfea23f35ab1bc | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If someone is not green and not cold then they are white. Charlie is cold. Charlie is not quiet. Charlie is round. Charlie is red. Charlie is green. If someone is nice then they are green. White, nice people are green. If someone is quiet and not cold then they are green. Charlie is nice. If someone is not round then t... | Charlie is quiet. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-8f6ef4209f1f409e86f62121c21798db | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something chases the cow and it is nice then it needs the tiger. The tiger visits the cow. If something chases the tiger then the tiger needs the bald eagle. If something visits the bald eagle and the bald eagle chases the cow then the cow visits the tiger. If something needs the bald eagle then it is green. The bal... | The cow does not chase the bald eagle. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-af7587fa3aa34d5498f5e6c71845ec05 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The squirrel needs the dog. The tiger sees the squirrel. The dog is cold. The squirrel is blue. The squirrel is cold. The bear needs the dog. The squirrel is rough. If someone is rough and cold then they chase the bear. If someone needs the tiger then they see the dog. The dog sees the bear. The dog sees the squirrel. ... | The squirrel does not chase the bear. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-a2a526f7ecd14747b09d580715b7847f | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something is not rough then it is red. Gary is young. Charlie is rough. Erin is kind. Charlie is not cold. If something is rough and smart then it is not red. Erin is cold. Harry is not young. Gary is rough. | Harry is young. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-e3036e00d10947b982679a56dda4d77a | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something is nice and white then it is cold. Harry is rough. Harry is round. Dave is white. Dave is rough. All cold, rough things are round. Harry is blue. If Harry is round then Harry is kind. Harry is kind. Dave is blue. Harry is white. Dave is round. All nice things are cold. All white, nice things are rough. Dav... | Dave is not white. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-7a422ade976b4c6baca66777ed98e31b | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something chases the bald eagle then it is kind. If the bald eagle is red and the bald eagle is not kind then the bald eagle needs the dog. The rabbit needs the dog. The bald eagle needs the rabbit. If something is not red then it sees the dog. The dog does not see the bald eagle. | The dog sees the bald eagle. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-686aa9d3bc144cf78edaed9c00ea168e | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle does not eat the lion. If something sees the lion and the lion is nice then it is not green. The dog eats the bald eagle. The mouse is green. The lion does not chase the bald eagle. The dog is nice. The bald eagle does not see the mouse. The lion is green. The dog eats the lion. The lion does not see the... | The bald eagle does not see the lion. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-ef4a22e9bdcb49d28f52dff548e5f5a1 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Gary is rough. Anne is furry. Anne is nice. Gary is white. Anne is kind. Anne is rough. Anne is white. Gary is kind. Gary is big. Gary is nice. Gary is red. Anne is big. Rough things are white. Anne is red. Gary is furry. | Anne is not kind. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-f6568b6287dc482087e360ed2baa7f96 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If the bald eagle likes the rabbit and the bald eagle eats the rabbit then the rabbit chases the bald eagle. The rabbit eats the bald eagle. If the rabbit eats the lion then the rabbit is blue. If something chases the lion and it likes the lion then the lion chases the bald eagle. If the rabbit eats the bald eagle then... | The bald eagle does not like the lion. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-6a9b4eaf1a8e494b96be329a6fcc9175 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The mouse likes the bear. The mouse is round. The bear likes the mouse. The rabbit is cold. If something is green and cold then it likes the mouse. The bear chases the rabbit. The rabbit chases the bear. The mouse sees the rabbit. The bear sees the rabbit. If something sees the bear then the bear sees the rabbit. The r... | The mouse is not nice. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-d1dd53cb66da4b5f83407e007cbb411f | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle is green. The mouse needs the bald eagle. The mouse likes the bald eagle. The bald eagle is young. The bald eagle needs the bear. The cat is red. The cat needs the bald eagle. The bear is big. The bald eagle likes the cat. The mouse is green. The bear likes the mouse. The bear visits the mouse. The bald ... | The bald eagle is not red. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-1ba316ae42fd493f8542630b47879896 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The squirrel is young. The bald eagle visits the tiger. The tiger sees the bald eagle. The cat sees the bald eagle. If something chases the tiger then it is blue. | The bald eagle does not visit the tiger. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-a7ebb570ff244891b24aa08b65be6055 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If someone is not round then they are nice. Nice, green people are young. The bald eagle is not nice. If the bald eagle is nice then the bald eagle is kind. The bald eagle is kind. Young, nice people are not green. The bald eagle is green. The bald eagle is young. If the bald eagle is young then the bald eagle is round... | The bald eagle is not young. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-3efed01c60c84418a029c894eabbcc3c | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Charlie is big. All cold people are big. Charlie is cold. Charlie is green. All cold people are white. | Charlie is not cold. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-c348c8afe64a4812904175e561c1e65e | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The rabbit likes the lion. The dog likes the bear. The lion eats the bear. If someone does not like the bear and they do not eat the lion then the bear does not visit the lion. The bear visits the rabbit. | The dog does not like the bear. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-5156d0e669744707b932a5e187e75df7 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Harry is young. Harry is furry. Dave is round. All kind things are young. Gary is kind. All round, quiet things are green. Dave is young. Gary is furry. Dave is green. Anne is big. Harry is green. Harry is quiet. Harry is big. If something is round and green then it is young. Harry is kind. | Harry is not big. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-0e8c3d3185554bf19f2b834336925fa5 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Fiona is not red. If Fiona is big and Fiona is not red then Fiona is young. Fiona is rough. Erin is rough. Erin is young. Charlie is nice. Charlie is red. If Fiona is quiet and Fiona is rough then Fiona is big. Charlie is not young. If something is green and not nice then it is rough. | Charlie is not red. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-10703773487d4c7aab7f0e969a725c6a | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The tiger eats the bald eagle. The bear visits the lion. The bald eagle is nice. The tiger likes the lion. The tiger is green. The bald eagle visits the lion. The tiger eats the lion. The tiger is not rough. The tiger likes the bear. The lion visits the bald eagle. The bald eagle likes the lion. The bald eagle is green... | The lion does not visit the bald eagle. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-56458498a0d24656887e3fd36922f8a7 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something is cold and it likes the cat then the cat eats the bear. If something likes the cat and the cat is not young then it is kind. If something is big then it does not eat the bear. The bear eats the cat. If something is nice then it eats the bear. The squirrel likes the cat. The cat likes the squirrel. If some... | The cat does not like the squirrel. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-8be6372897e34d1ca05ca5635694753a | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | All young, cold things are rough. If something is furry then it is young. If something is cold and rough then it is smart. If something is furry and smart then it is round. Erin is green. All green things are rough. Bob is cold. All young, green things are round. Anne is furry. Charlie is rough. All cold things are rou... | Bob is not cold. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-c514b7d390484f2b918364dfbd5d6afc | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bear is nice. The bear is not young. If the bear is red then the bear is round. All rough, young people are red. The bear is round. The bear is red. The bear is rough. If the bear is nice then the bear is not young. If the bear is young then the bear is not red. If the bear is round then the bear is rough. If someo... | The bear is young. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-1b6a1d64e84e40c797dc454cf76da7e7 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Anne is young. Gary is cold. Anne is round. Green people are smart. Round, cold people are young. Gary is green. Anne is kind. Anne is red. Gary is kind. Anne is smart. Gary is round. Gary is young. Gary is smart. Gary is red. Anne is green. Anne is cold. | Gary is not young. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-e7bed1a722784a8a975516983741b4a4 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The cow does not eat the rabbit. If something eats the cow and the cow eats the rabbit then it does not see the rabbit. If something eats the rabbit and it is red then the rabbit eats the cow. The rabbit likes the cow. If something is kind and it does not see the cow then it eats the rabbit. The cow sees the rabbit. | The rabbit does not like the cow. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-efdef5add15b4beea1efac160bae2e3c | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The lion needs the squirrel. If something does not eat the squirrel then it likes the lion. The mouse does not need the squirrel. If something is big then it likes the squirrel. The cow needs the squirrel. If something needs the cow then it likes the cow. The mouse needs the cow. The lion is red. If something needs the... | The mouse does not need the cow. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-8a53b37e59704c81affc8a2f2db381c2 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Bob is cold. Bob is blue. Red, cold people are round. Bob is quiet. Bob is red. Bob is young. Bob is furry. Bob is round. | Bob is not young. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-48b0378e5d994e9688b06391ed809134 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something visits the cat and it is rough then it chases the cat. The cat is cold. The dog needs the cat. The cat visits the dog. The dog is cold. The cat is green. The cat chases the dog. The cat is rough. If the dog visits the cat and the cat is green then the cat visits the dog. The cat is red. The cat is kind. Th... | The dog is not cold. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-e9e821b09f684e3386ebfdf58742e57e | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Fiona is furry. Fiona is cold. All blue things are cold. Harry is cold. Fiona is not kind. Furry, cold things are not kind. Rough things are big. Harry is not furry. All smart things are cold. Fiona is rough. Harry is big. If Fiona is cold then Fiona is smart. Fiona is smart. Harry is kind. If something is not rough th... | Fiona is not rough. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-a2afbcfd15904c35b8a671a775a6746d | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Bob is rough. If someone is kind and red then they are rough. Bob is white. Bob is round. If someone is young then they are red. Bob is young. Bob is green. Bob is red. Bob is kind. | Bob is not green. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-c80c87b88cb34f868322fd032dd147af | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something sees the bear then the bear is green. If the tiger sees the bear and the bear visits the tiger then the tiger likes the cow. If the cow sees the tiger then the tiger is nice. The rabbit sees the cow. If something sees the bear then the bear visits the rabbit. If something sees the cow and the cow visits th... | The tiger does not visit the rabbit. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-b857858726ad4303a9aad690a747a393 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something is not round then it is nice. The dog is young. If something is round and not young then it is not rough. If something is rough and not young then it is red. If something is rough and nice then it is not round. The dog is not nice. All round things are rough. The dog is rough. The dog is red. The dog is ro... | The dog is not round. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-1ccd7104c4154e5686917343def235e5 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The tiger likes the cat. The dog likes the tiger. If something is round and rough then it is not red. If the dog likes the cat and the cat likes the dog then the dog is green. The cat visits the dog. If the dog is not green then the dog visits the cat. | The dog does not like the tiger. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-9d66f90af3ed429faf70b6b7d33a00ef | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle needs the dog. The dog is not blue. If someone is green then they do not need the bald eagle. If someone is red and they need the dog then they are not big. If someone needs the dog then they are green. | The bald eagle does not need the dog. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-072727ea7f514a60bc113c96167b3485 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | All nice things are cold. Erin is rough. Erin is quiet. Erin is round. If something is nice then it is quiet. Erin is nice. Erin is blue. Erin is furry. Erin is cold. If something is cold then it is quiet. | Erin is not nice. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-04cde58321794096b2dc55928074e8d4 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bear is rough. The bear needs the cow. The cow needs the bear. The bear chases the cow. The cow is not round. The cow is not rough. The cow chases the bear. The bear is not red. The cow is not green. The bear is green. The cow is young. The bear is young. If the bear is red and someone does not like the bear then t... | The cow is not red. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-dbddbdd1c2b34dff8187b373af22c100 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The lion needs the squirrel. If something chases the lion then it needs the lion. If something chases the lion then it does not chase the squirrel. If something does not like the lion then it chases the squirrel. If the squirrel chases the lion and the lion likes the squirrel then the lion is round. The lion likes the ... | The lion does not need the squirrel. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-396dd58b2de545828ab4636a98768c9e | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle is not rough. If someone is cold and not round then they are young. The bald eagle is round. The bald eagle is young. The bald eagle is kind. The bald eagle is cold. If someone is rough then they are young. All rough people are kind. | The bald eagle is rough. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-9713ebf17f384bd3928d8271b04e1657 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The cat is round. All round people are cold. The cat is cold. Blue, rough people are cold. Cold, blue people are young. Rough, cold people are blue. If someone is blue and young then they are cold. The cat is young. Round people are rough. The cat is rough. The cat is blue. | The cat is not cold. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-1998ff73dd8d449faad75745ab8e4522 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If something is quiet then it is red. Anne is furry. Anne is not blue. Fiona is blue. Fiona is kind. Charlie is not red. If something is furry and quiet then it is round. If something is kind and not quiet then it is not red. Anne is red. Fiona is quiet. | Anne is not furry. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-caae3fd5dd9e4b3180e54af4d9b63d53 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle chases the tiger. The tiger chases the bald eagle. The dog visits the tiger. The dog is rough. The tiger visits the dog. The bald eagle is kind. The tiger likes the bald eagle. If the dog is round and the dog is kind then the dog visits the tiger. If something is kind then it visits the bald eagle. | The tiger does not like the bald eagle. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-2f221499c602462eaf69db174609d1b6 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | If someone is blue then they are young. The lion is rough. The lion is kind. The lion is young. If someone is rough and cold then they are blue. If the lion is kind and the lion is young then the lion is rough. Cold people are young. If the lion is rough then the lion is young. If someone is young then they are kind. T... | The lion is not blue. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-59b14b5e18724821b673b8c893b96525 | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | The bald eagle eats the lion. The bear needs the bald eagle. The bald eagle needs the bear. The lion eats the bald eagle. The bald eagle is young. The bear chases the bald eagle. The bear is big. If something eats the bald eagle then the bald eagle needs the lion. The bald eagle is big. The bald eagle needs the lion. T... | The bear is not rough. |
task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | task967-f747c1e48f4e4c36a517a3808c3e9f2f | Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input). | Gary is not red. Gary is rough. If something is big and nice then it is kind. Gary is white. | Gary is not rough. |
task062_bigbench_repeat_copy_logic | task062-e5fc69747d4b41cfa9159bc2e971ddab | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat all the world seven times, and after every second time add is a stage. | all the world all the world is a stage all the world all the world is a stage all the world all the world is a stage all the world |
task062_bigbench_repeat_copy_logic | task062-29d8604901904cb9a0ba989679010898 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Say hungry three times, then hippo two times, then feed me four times | hungry hungry hungry hippo hippo feed me feed me feed me feed me |
task062_bigbench_repeat_copy_logic | task062-95697da5067c4cea9adc0ebb291d5f2d | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say python twice and data once, and then repeat all of this three times. | python python data python python data python python data |
task062_bigbench_repeat_copy_logic | task062-ce07e8d7002b42cc81234a0fdb03c2fc | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Print logic eleven times, but after the 3rd and 8th also say true | logic logic logic true logic logic logic logic logic true logic logic logic |
task062_bigbench_repeat_copy_logic | task062-a258dad41f754a5398587d5223889643 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat squiggly line twice after the phrase can you draw | can you draw squiggly line squiggly line |
task062_bigbench_repeat_copy_logic | task062-a789cb9087484f39ad0bb8d457e00fce | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat cat five times. After each time, also say mouse | cat mouse cat mouse cat mouse cat mouse cat mouse |
task062_bigbench_repeat_copy_logic | task062-3bc2399df6074fe9b31fd3c75e5ca072 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | repeat whole note quarter note quarter note quarter note twice | whole note quarter note quarter note quarter note whole note quarter note quarter note quarter note |
task062_bigbench_repeat_copy_logic | task062-4cf5012b1783456cb5baa81958a3d84d | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | output if you teach a person to fish you will three times | if you teach a person to fish you will if you teach a person to fish you will if you teach a person to fish you will |
task062_bigbench_repeat_copy_logic | task062-06398cd646a44dbca3f260b60f305853 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Output carbon pricing is an four times, but in the middle also say interesting concept | carbon pricing is an carbon pricing is an interesting concept carbon pricing is an carbon pricing is an |
task062_bigbench_repeat_copy_logic | task062-6500ca9c4ac249a2bc5f449fb53b0082 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Seven times please repeat The School of Music | The School of Music The School of Music The School of Music The School of Music The School of Music The School of Music The School of Music |
task062_bigbench_repeat_copy_logic | task062-109b460315594c2092b9ac542d567ca7 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Twice repeat inhabitants in the urban area and then three times live in walking distance | inhabitants in the urban area inhabitants in the urban area live in walking distance live in walking distance live in walking distance |
task062_bigbench_repeat_copy_logic | task062-9cf1539027c54d21ba912c6583ad05d1 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat historic church building twice, but after every word also say wow | historic wow church wow building wow historic wow church wow building wow |
task062_bigbench_repeat_copy_logic | task062-a52d964da66c449d87945527a4e1452c | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | repeat election to the council three times, but after every other word say cool | election to cool the council cool election to cool the council cool election to cool the council cool |
task062_bigbench_repeat_copy_logic | task062-ab7b3e3b31ec4461b3f4a0c95ce29df0 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | repeat the phrase the administrative district three times, and say the phrase hello world after the second time | the administrative district the administrative district hello world the administrative district |
task062_bigbench_repeat_copy_logic | task062-2cf971a005ff46a593c1d8134c192a9d | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say the village has a population five times, and after odd times add larger than California | the village has a population larger than California the village has a population the village has a population larger than California the village has a population the village has a population larger than California |
task062_bigbench_repeat_copy_logic | task062-7774255de53243aeb292295fbf571d62 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | ask a genus of plants in what family? four times. after the fourth time say The happy family | a genus of plants in what family? a genus of plants in what family? a genus of plants in what family? a genus of plants in what family? The happy family |
task062_bigbench_repeat_copy_logic | task062-b65c77b6b19445aea3f54e4bb4076f77 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say fish are healthy twice | fish are healthy fish are healthy |
task062_bigbench_repeat_copy_logic | task062-dc55c18aee59478fb265e73b29778f0d | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Three times please repeat The School of Music, and before the first time say Who plays the bass loud? | Who plays the bass loud? The School of Music The School of Music The School of Music |
task062_bigbench_repeat_copy_logic | task062-b7acb12598a84234bd0e19741175d5f0 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat cheese seven times; every third say whiz | cheese cheese cheese whiz cheese cheese cheese whiz cheese |
task062_bigbench_repeat_copy_logic | task062-a39818e63b2542f5b7f13889a66f8edc | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say hello world five times, but don't say world every even time | hello world hello hello world hello hello world |
task062_bigbench_repeat_copy_logic | task062-f1279b8c1e544f1d8bdc6ac89872ef88 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say all work and no play makes three times, but every even time add Jack and odd time add Jill | all work and no play makes Jill all work and no play makes Jack all work and no play makes Jill |
task062_bigbench_repeat_copy_logic | task062-b01102e2e79e4012912cde71a8bd6e67 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | repeat a woodchuck chucks lots of wood two times, but replace lots with five pounds the first time and two tons the second time | a woodchuck chucks five pounds of wood a woodchuck chucks two tons of wood |
task062_bigbench_repeat_copy_logic | task062-bb34bf907e5d4f458369342ae6156724 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | say pickup a pound of green beans twice, replacing a pound with a bunch for even times and a handful for odd | pickup a handful of green beans pickup a bunch of green beans |
task062_bigbench_repeat_copy_logic | task062-b11ffd524e8d4fe2ad593bcadf65a7c6 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | A watermelon has seven seeds. Repeat they're delicious once for every seed | they're delicious they're delicious they're delicious they're delicious they're delicious they're delicious they're delicious |
task062_bigbench_repeat_copy_logic | task062-6523b1115f1241ca98e9048fdc836826 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | A strawberry has three leaves. Say wish I had some chocolate for every odd leaf | wish I had some chocolate wish I had some chocolate |
task062_bigbench_repeat_copy_logic | task062-b54b0873c9db4782902911c9f882e3bb | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Say the letters of the alphabet in capital letters, but only the odd ones | A C E G I K M O Q S U W Y |
task062_bigbench_repeat_copy_logic | task062-0ff6e6db60ba4227bcdc20bf71f9a53e | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Repeat the phrase all cars eat gas four times. On the odd times, drop words that start with vowels | cars gas all cars eat gas cars gas all cars eat gas |
task062_bigbench_repeat_copy_logic | task062-d6cc44325d424ed9a29d426219de070b | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Say the days of the week but only the weekend days, two times | Saturday Sunday Saturday Sunday |
task062_bigbench_repeat_copy_logic | task062-eac9a2fb69014e9c81441814df353364 | This task evaluates for the ability to follow basic natural language instructions nested and performing a sequence of operations, including basic logic and conditionals. | Say the botanical gardens are five times. If the time divides evenly by two add beautiful, or by three add wonderful. Otherwise say great. | the botanical gardens are great the botanical gardens are beautiful the botanical gardens are wonderful the botanical gardens are beautiful the botanical gardens are great |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-76c5472d183449a9b4a6f8e9507a42d6 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | NS - 718 , a lipid nanosphere incorporating amphotericin B , is effective against pathogenic fungi and has low toxicity . | toxicity |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-1e601b239b1f43dd9d81c509c5f0b395 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | We compared the toxicity of NS - 718 with that of Fungizone ( amphotericin B - sodium deoxycholate ; D - AmB ) in vitro using renal cell cultures and in vivo by biochemical analysis , histopathological study of the kidney and pharmacokinetic study of amphotericin B following intravenous infusion of the formulation in ... | toxicity |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-8440936c0d974682a3323533de4c50a6 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Catalepsy was evaluated at the beginning and the end of the treatments . | Catalepsy |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-f47336b0aec64679bf47d0cc3c0141bf | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Six ( 12 % ) and 4 ( 8 % ) patients experienced grade 2 hand - foot syndrome and stomatitis , respectively ( no episodes of grade 3 ) . | stomatitis |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-f516ffbe0bef47d1ae8e8b064bd5aee9 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Although several new anticoagulant drugs are in development , heparin remains the anticoagulant of choice to treat acute thrombotic episodes . | thrombotic |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-98db7fc25a7f41298aa0f1e8dc4009e8 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | In two of them , the MPO - ANCA titres transiently increased to 12 . 8 and 15 . 0 U / ml , respectively , despite continued PTU therapy , but no vasculitic disorders developed . | vasculitic disorders |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-9925598d77104ddfbec81d4c66277d11 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Toleration of high doses of angiotensin - converting enzyme inhibitors in patients with chronic heart failure : results from the ATLAS trial . | heart failure |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-453f22259f2442409e7e9adafca8b586 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | dl - Sotalol preferentially prolonged action potential duration ( APD ) in M cells dose - dependently ( 1 to 100 micromol / L ) , leading to QT prolongation and an increase in TDR . | QT prolongation |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-e868218849dd4322a68020b3998cddef | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Cocaine , ethanol , and cocaethylene cardiotoxity in an animal model of cocaine and ethanol abuse . | cardiotoxity |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-7af14b47f568477599c8e8f2b515ae06 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | The positive skin tests are in favour of immunological reactions and may help in diagnosis of allergy in the patients . | allergy |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-8530224838304ba1b1a8099dc2a4710c | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Thus , two control groups were generated : group C1 , which included age - and sex - comparable lithium - treated bipolar normocalcemic patients , and group C2 , which included bipolar normocalcemic patients treated with anticonvulsant mood stabilizers . | bipolar |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-f6067ecefc8c475b9460c5ada4363445 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | CONCLUSIONS : PTU therapy may be related to the appearance of MPO - ANCA , but MPO - ANCA does not appear to be closely related to vasculitis . | vasculitis |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-cb6b93b098e24909b93587cc5bb1b15d | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Worsening of Parkinsonism after the use of veralipride for treatment of menopause : case report . | Parkinsonism |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-d4beb3a339fb4c379db0386b33d91ed9 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Effect of methoxamine on maximum urethral pressure in women with genuine stress incontinence : a placebo - controlled , double - blind crossover study . | stress incontinence |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-5b61b976fe5a42ee92702fe584209c11 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Half log incremental doses of intravenous methoxamine or placebo ( saline ) were administered to a group of women with genuine stress incontinence while measuring maximum urethral pressure ( MUP ) , blood pressure , heart rate , and symptomatic side effects . | stress incontinence |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-93f927b81be94572b9eac89f9235da9a | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | The results indicate that the clinical usefulness of direct , peripherally acting sub - type - selective alpha1 - adrenoceptor agonists in the medical treatment of stress incontinence may be limited by associated piloerection and cardiovascular side effects . | stress incontinence |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-bc891f6dd2984848b9ab8f67d11e7c0d | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Viracept and irregular heartbeat warning . | irregular heartbeat |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-b4a3da235ecb4996b877566dbe90bb99 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Anorexigens and pulmonary hypertension in the United States : results from the surveillance of North American pulmonary hypertension . | pulmonary hypertension |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-732a069b882e4a3ea36a36dd43c2dc08 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | MATERIALS AND METHODS : We conducted a prospective surveillance study on patients diagnosed with pulmonary hypertension at 12 large referral centers in North America . | pulmonary hypertension |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-b71df04174c4407bb44f5cd6d2004968 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Data collected on patients seen from September 1 , 1996 , to December 31 , 1997 , included the cause of the pulmonary hypertension and its severity . | pulmonary hypertension |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-97c3a8c05e7947458e9b8385caa85ee4 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | The high prevalence of anorexigen use in patients with SPH also raises the possibility that these drugs precipitate pulmonary hypertension in patients with underlying conditions associated with SPH . | pulmonary hypertension |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-c0eade184f624b39866fef20583e940e | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | Both dronedarone and amiodarone significantly reduced the exercise - induced tachycardia and , at the highest dose , decreased the isoproterenol - induced tachycardia . | tachycardia |
task1449_disease_entity_extraction_bc5cdr_dataset | task1449-a55968155c614837a828ba02de824013 | In this task, you will be given a single sentence or a set of sentences. You have to recognize the name of the disorder or disease. Disease is a disorder of structure or function in a human, animal, or plant, especially one that produces specific symptoms or that affects a specific location and is not simply a direct r... | There was no difference in the maximum double product ( p = 0 . 53 ) or ST depression ( p = 0 . 63 ) with either form of stress . | depression |
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